Missing outcome data from randomized trials lead to greater uncertainty and possible bias in estimating the effect of an experimental treatment. An intention-to-treat analysis should take account of all randomized participants even if they have missing observations.
- Randomized Controlled Trials as Topic
- Outcome Assessment (Health Care)
- Models, Statistical
- Research Design
- Meta-Analysis as Topic